A Model to Optimize the Design of a Reverse Logistic Network under Uncertainty



The environmental rules of reverse logistic networks have caused important economic growth in the past decades. To integrate forward logistic networks with reverse logistics networks a helpful method is to design both networks simultaneously. Considering more retrieval choices in modeling reverse logistic systems can be very critical. This article contains a mixed integer linear programming model which can be used to design a forward/reverse multi-product, multi- echelon, simple period with limited capacity, under uncertainty situation network. The desired network encompasses the retrieval and remanufacturing choices. The final purpose of this article is to minimize the whole cost of the network.